{"id":"https://openalex.org/W2288237511","doi":"https://doi.org/10.1109/ict-dm.2015.7402027","title":"Topology reduction and probabilistic information extraction for large data-sets: A disaster management case study","display_name":"Topology reduction and probabilistic information extraction for large data-sets: A disaster management case study","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2288237511","doi":"https://doi.org/10.1109/ict-dm.2015.7402027","mag":"2288237511"},"language":"en","primary_location":{"id":"doi:10.1109/ict-dm.2015.7402027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict-dm.2015.7402027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053739348","display_name":"Marcello Trovati","orcid":"https://orcid.org/0000-0001-6607-422X"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Marcello Trovati","raw_affiliation_strings":["Department of Computing and Mathematics, University of Derby, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics, University of Derby, UK","institution_ids":["https://openalex.org/I22128151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031771615","display_name":"Eleana Asimakopoulou","orcid":null},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eleana Asimakopoulou","raw_affiliation_strings":["Department of Computing and Mathematics, University of Derby, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics, University of Derby, UK","institution_ids":["https://openalex.org/I22128151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010410887","display_name":"Nik Bessis","orcid":"https://orcid.org/0000-0002-6013-3935"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nik Bessis","raw_affiliation_strings":["Department of Computing and Mathematics, University of Derby, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics, University of Derby, UK","institution_ids":["https://openalex.org/I22128151"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053739348"],"corresponding_institution_ids":["https://openalex.org/I22128151"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14703025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7663699388504028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553595304489136},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6727416515350342},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6189171671867371},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5795484185218811},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5590582489967346},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5485395789146423},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.4301052689552307},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4230266511440277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28155142068862915},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12297546863555908}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7663699388504028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553595304489136},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6727416515350342},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6189171671867371},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5795484185218811},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5590582489967346},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5485395789146423},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.4301052689552307},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4230266511440277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28155142068862915},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12297546863555908},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ict-dm.2015.7402027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict-dm.2015.7402027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/d8cf3f66-0225-4ad5-aab4-905ae7eb43ab","is_oa":false,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/d8cf3f66-0225-4ad5-aab4-905ae7eb43ab","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Trovati, M, Asimakopoulou, E & Bessis, N 2016, Topology reduction and probabilistic information extraction for large data-sets : A disaster management case study. in Y Hadjadj-Aoul (ed.), Proceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015., 7402027, Proceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015, Institute of Electrical and Electronics Engineers Inc., pp. 116-121, 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015, Rennes, Brittany, France, 30/11/15. https://doi.org/10.1109/ICT-DM.2015.7402027","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1968683024","https://openalex.org/W1986825611","https://openalex.org/W1994801733","https://openalex.org/W2021211356","https://openalex.org/W2027260141","https://openalex.org/W2112090702","https://openalex.org/W2124637492","https://openalex.org/W2148606196","https://openalex.org/W2407938216","https://openalex.org/W2545004184","https://openalex.org/W4237496336"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":{"The":[0,151],"dynamical":[1],"and":[2,85,106,137],"probabilistic":[3,93],"properties":[4,31],"of":[5,32,39,47,60,72,77,144,176],"the":[6,29,58,70,91,96,116,121,142,145],"relationships":[7,94],"among":[8,95],"data":[9,61,97,165],"modelled":[10,62],"by":[11,63,99,120],"real-world":[12],"networks":[13,41],"have":[14],"drawn":[15],"extensive":[16],"research":[17,79,147],"from":[18,173],"a":[19,36,73,110,134,163,174],"several":[20],"interdisciplinary":[21],"fields.":[22],"They,":[23],"in":[24,154],"fact,":[25],"can":[26],"successfully":[27],"identify":[28,86],"main":[30],"large":[33,111],"data-sets.":[34],"However,":[35],"deep":[37],"analysis":[38],"such":[40],"is":[42,125],"likely":[43],"to":[44,51,82,104,140,161,169],"generate":[45],"information":[46,88,114],"little":[48],"use":[49],"due":[50],"their":[52],"inherent":[53],"complexity,":[54],"as":[55,57,75],"well":[56],"inconsistencies":[59],"them.":[64],"In":[65,102],"this":[66,131,155],"paper,":[67],"we":[68],"discuss":[69],"evaluation":[71],"method":[74],"part":[76],"ongoing":[78],"which":[80],"aims":[81],"extract,":[83],"assess":[84],"relevant":[87],"based":[89],"on":[90,115],"mutual":[92],"captured":[98],"Big":[100],"Data.":[101],"order":[103],"validate":[105],"support":[107],"our":[108,159],"approach,":[109],"dataset":[112],"capturing":[113],"seismological":[117],"activity":[118],"provided":[119],"European-Mediterranean":[122],"Seismological":[123],"Centre":[124],"considered.":[126],"We":[127],"will":[128],"show":[129],"that":[130],"approach":[132,152],"provides":[133],"scalable,":[135],"accurate":[136],"useful":[138],"tool":[139,167],"enhance":[141],"state":[143],"art":[146],"within":[148],"disaster":[149],"management.":[150],"discussed":[153],"paper":[156],"further":[157],"supports":[158],"effort":[160],"create":[162],"big":[164,177],"analytics":[166],"aiming":[168],"extract":[170],"actionable":[171],"intelligence":[172],"variety":[175],"datasets.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}